ZIP code
67009
in Attica, KansasPopulation 796
37.22/ 100
Ranked #28,427 of 32,066 US ZIPs (bottom 11.4%)
Ranked #670 of 682 Kansas ZIPs (bottom 1.8%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Elder-services access
1.4 per 1,000 residents
in the top 0.4% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Nitrate in drinking water
34.3%
in the top 1.4% nationally
Lower is healthier
ST92ndUS99thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Hearing disability
13.0%
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Coronary heart disease
11.7%
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Energy-cost burden
6.0%
in the top 2.8% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Transportation noise
17.3%
in the top 3.3% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Stroke
5.7%
in the top 6.0% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Crowded housing
8.6%
in the top 5.9% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Distance to a community health center
23.5 mi
in the top 6.4% nationally
Lower is healthier
ST80thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Mobility disability
22.8%
in the top 7.3% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
Attica, Kansas (ZIP 67009), in overall standing, comes out in the bottom 11.4% nationally (28,427th) and the bottom 1.8% of Kansas (670th).
A few readings account for most of this area's strain: modeled nitrate lands in the top 1.4% nationally, hearing disability rests in the top 2.0% nationally, and coronary heart disease settles in the top 2.3% nationally. Modeled energy burden lands in the top 2.8% nationally, transportation noise rests in the top 3.3% nationally, and stroke settles in the top 6.0% nationally. Crowded housing lands in the top 5.9% nationally, and distance to a community health center rests in the top 6.4% nationally. Modeled mobility disability settles in the top 7.3% nationally. On the better side, elder services lands in the top 0.4% nationally.
Set within its surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Energy burden is the share of household income that goes to home energy bills. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The closest healthier ZIP overall is ZIP 67003, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Mental Health
healthier than 68%
8%
About typical
Risk Behavior
healthier than 48%
11%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 22%
14%
Preventive Care
healthier than 29%
13%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 18%
5%
Healthcare Access
healthier than 8%
5%
Nothing measured is lifting this score.
About typical
Mental Health
healthier than 50%
8%
Holding it back
Chronic Disease Burden
in the bottom 0.5%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 22%
14%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 37%
11%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 17%
5%
Healthcare Access
healthier than 17%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
67003
Kansasshares a border
Score 40.36
Closest healthier
67058
Kansasshares a border
Score 43.26
Similar health profile
31735
Georgia96% similar profile
Score 36.66
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 37.8% | 34.0–41.6 |
| High blood pressure among adults | 45.3% | 40.8–49.8 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.6–13.0 |
| Current asthma among adults | 10.4% | 9.2–11.8 |
| Coronary heart disease among adults | 11.7% | 10.3–13.2 |
| Chronic obstructive pulmonary disease among adults | 12.2% | 10.2–14.4 |
| Depression among adults | 21.3% | 18.1–24.8 |
| Diagnosed diabetes among adults | 17.2% | 14.9–19.8 |
| High cholesterol among adults who have ever been screened | 43.7% | 39.2–48.4 |
| Obesity among adults | 42.0% | 33.9–50.7 |
| Stroke among adults | 5.7% | 4.9–6.5 |
| All teeth lost among adults aged >=65 years | 19.9% | 16.7–23.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.3% | 8.1–12.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 84.3% | 82.0–86.5 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.6–83.2 |
| Cholesterol screening among adults | 85.6% | 83.5–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 57.6% | 52.2–63.1 |
| Visited dentist or dental clinic in the past year among adults | 56.0% | 52.1–59.7 |
| Mammography use among women aged 50-74 years | 69.5% | 60.7–77.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.5% | 10.2–15.2 |
| Current cigarette smoking among adults | 18.6% | 15.3–22.0 |
| No leisure-time physical activity among adults | 34.9% | 28.9–40.8 |
| Short sleep duration among adults | 32.9% | 26.7–39.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.0% | 22.0–30.2 |
| Frequent mental distress among adults | 16.1% | 14.0–18.2 |
| Frequent physical distress among adults | 16.9% | 14.6–19.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.5% | 14.2–19.0 |
| Any disability among adults | 41.2% | 35.9–46.6 |
| Hearing disability among adults | 13.0% | 11.4–14.7 |
| Independent living disability among adults | 11.4% | 9.6–13.3 |
| Mobility disability among adults | 22.8% | 19.3–26.3 |
| Self-care disability among adults | 5.9% | 5.0–6.9 |
| Vision disability among adults | 7.4% | 6.2–8.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.9% | 16.7–23.4 |
| Food insecurity in the past 12 months among adults | 16.4% | 13.4–19.6 |
| Received food stamps in the past 12 months among adults | 11.7% | 9.4–14.2 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.4–13.5 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 7.4–10.0 |
| Loneliness among adults | 29.3% | 24.3–34.5 |
| Utility services shut-off threat in the past 12 months among adults | 9.7% | 8.2–11.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.6% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 9.2% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 7.9% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 31.9% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 0.3% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 90.0% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 25.6% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 72.8% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 8.6% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 36.0% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 21.0% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 38.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $44,375 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $63,100 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $659 | $1,021 ($677–$1,912) n=25,670 | $820 ($592–$1,257) n=519 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 76.2 yr ± 1.47 | 78.9 yr (74.7–82.8) n=31,308 | 78.9 yr (76.2–81.8) n=687 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.47 years of 76.2, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured